@techreport{Antonsen2021,
abstract = {We propose a ten-year research campaign to maximally adopt artificial intelligence (AI) and machine learning (ML) capabilities in space biology research and the design of spaceflight health systems. Fully leveraging AI/ML functionalities will enable generating and analyzing large amounts of data while requiring limited human time, and increasing knowledge gain of biological spaceflight effects. Further, integration of AI/ML into support systems for spacecraft, ecosystem, and astronaut health will increase the power of adverse event prediction and mitigation.},
author = {Antonsen, Erik and Babdor, Joel and Baranzini, Sergio E and Barker, Richard and Beheshti, Afshin and Berrios, Daniel C and Chalk, Stuart and Delgado-Aparicio, Guillermo M and Martin, Hector Garcia and Glicksberg, Benjamin S and Greene, Casey S and Haendel, Melissa and Hamid, Arif A and Hastings, Jaden JA and Heller, Philip and Hoarfrost, Adrienne and Jamieson, Daniel and Jarvis, Katelyn J and Kalantari, John and Khezeli, Kia and Komarova, Svetlana V and Komorowski, Matthieu and Kothiyal, Prachi and Mahabal, Ashish and Manor, Uri and Matar, Mona and Mias, George I and Miller, Jack and Jr, Jerry G Myers and Nelson, Charlotte and Oribello, Jonathan and Park, Seung-min and Parsons-Wingerter, Patricia and Prabhu, RK and Qutub, Amina Ann and Rask, Jon and Reynolds, Robert J and Saravia-Butler, Amanda and Saria, Suchi and Sawyer, Aenor J and Singh, Nitin Kumar and Soboczenski, Frank and Snyder, Michael and Soman, Karthik and Theriot, Corey A and Valen, David Van and Warren, Liz and Worthey, Liz and Yang, Jason H and Zitnik, Marinka},
institution = {NASA},
title = {{Machine Learning, Artificial Intelligence and Data Modeling for the Next Decade of Space Biology Research and Astronaut Health Support}},
year = {2021}
}

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Fully leveraging AI/ML functionalities will enable generating and analyzing large amounts of data while requiring limited human time, and increasing knowledge gain of biological spaceflight effects. Further, integration of AI/ML into support systems for spacecraft, ecosystem, and astronaut health will increase the power of adverse event prediction and mitigation.},\r\nauthor = {Antonsen, Erik and Babdor, Joel and Baranzini, Sergio E and Barker, Richard and Beheshti, Afshin and Berrios, Daniel C and Chalk, Stuart and Delgado-Aparicio, Guillermo M and Martin, Hector Garcia and Glicksberg, Benjamin S and Greene, Casey S and Haendel, Melissa and Hamid, Arif A and Hastings, Jaden JA and Heller, Philip and Hoarfrost, Adrienne and Jamieson, Daniel and Jarvis, Katelyn J and Kalantari, John and Khezeli, Kia and Komarova, Svetlana V and Komorowski, Matthieu and Kothiyal, Prachi and Mahabal, Ashish and Manor, Uri and Matar, Mona and Mias, George I and Miller, Jack and Jr, Jerry G Myers and Nelson, Charlotte and Oribello, Jonathan and Park, Seung-min and Parsons-Wingerter, Patricia and Prabhu, RK and Qutub, Amina Ann and Rask, Jon and Reynolds, Robert J and Saravia-Butler, Amanda and Saria, Suchi and Sawyer, Aenor J and Singh, Nitin Kumar and Soboczenski, Frank and Snyder, Michael and Soman, Karthik and Theriot, Corey A and Valen, David Van and Warren, Liz and Worthey, Liz and Yang, Jason H and Zitnik, Marinka},\r\ninstitution = {NASA},\r\ntitle = {{Machine Learning, Artificial Intelligence and Data Modeling for the Next Decade of Space Biology Research and Astronaut Health Support}},\r\nyear = {2021}\r\n}\r\n\r\n\r\n","author_short":["Antonsen, E.","Babdor, J.","Baranzini, S. 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